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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 8361
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    Explanations

    words related to layers and materials like tissues

    oai_token-act-pair · gpt-3.5-turbo

    terms related to layers, both physical and metaphorical, that imply complexity or concealment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    owder
    -0.63
     VID
    -0.62
     Defendants
    -0.61
    scape
    -0.59
    perties
    -0.58
    EG
    -0.57
    Delivery
    -0.57
    LET
    -0.56
    âĸ¬
    -0.56
    ECH
    -0.54
    POSITIVE LOGITS
    peed
    1.33
    mith
    1.29
    hift
    1.27
    heet
    1.24
    pace
    1.24
    paces
    1.22
    poons
    1.22
    chool
    1.17
    creen
    1.15
    omething
    1.13
    Activations Density 0.601%

    No Known Activations